117 citations · 804 across the 45 of their papers we have counts for
6 papers · 1 filter
DGNNFlow: A Streaming Dataflow Architecture for Real-Time Edge-based Dynamic GNN Inference in HL-LHC Trigger Systems
Davendra Maharaj, Tu Pham, Peter Meiring +4
Dynamic GNN inference exhibits strong capability to model interactions over time, such as complex particle collision events in High Energy Physics (HEP) experiments at High Luminos…
FastGraph: Optimized GPU-Enabled Algorithms for Fast Graph Building and Message Passing
Aarush Agarwal, Raymond He, Jan Kieseler +2
We introduce FastGraph, a novel GPU-optimized k-nearest neighbor algorithm specifically designed to accelerate graph construction in low-dimensional spaces (2-10 dimensions), criti…
Coffea -- Columnar Object Framework For Effective Analysis
Nicholas Smith, Lindsey Gray, Matteo Cremonesi +8
The coffea framework provides a new approach to High-Energy Physics analysis, via columnar operations, that improves time-to-insight, scalability, portability, and reproducibility…
Using Big Data Technologies for HEP Analysis
Matteo Cremonesi, Claudio Bellini, Bianny Bian +17
The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a lar…
CMS Analysis and Data Reduction with Apache Spark
Oliver Gutsche, Luca Canali, Illia Cremer +12
Experimental Particle Physics has been at the forefront of analyzing the world's largest datasets for decades. The HEP community was among the first to develop suitable software an…
Big Data in HEP: A comprehensive use case study
Oliver Gutsche, Matteo Cremonesi, Peter Elmer +7
Experimental Particle Physics has been at the forefront of analyzing the worlds largest datasets for decades. The HEP community was the first to develop suitable software and compu…